A double-bagging machine-learning algorithm was used to train classification rules on the basis of a combination of FDT scores and nerve fiber related visual field losses in SWAP.

 
  • 在聯(lián)合FDT評分和SWAP神經(jīng)纖維相關(guān)的視野缺損基礎上用雙相機器學(xué)習系統排列分類(lèi)法則。
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